Paper-Conference

Regularized Generalized Linear Models to Disclose Host-Microbiome Associations in Colorectal Cancer
Recent studies have shown that gut microbiome is associated with colorectal cancer (CRC) progression and anti-cancer therapy efficacy. …
Eliana Ibrahimi, Mina Norouzirad, Melisa Meto, Marta B. Lopes
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Dimension Reduction and Shrinkage Estimation in Seemingly Unrelated Regression Models
This paper considers the preliminary test and shrinkage estimation for a seemingly unrelated regression (SUR) model to improve the …
Mina Norouzirad
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Least trimmed ridge estimator under stochastic linear restriction
This paper is written in Persian.
Monireh Maanavi, Mahdi Roozbeh, Mina Norouzirad
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Difference-based improved estimation strategies using marginal theory in partial linear model
In the context of partial linear regression modeling, improved estimation of the parametric as well as non-parametric is studied. In …
Mina Norouzirad
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Asymptotic properties of shrinkage LAD estimators
In the context of linear regression models, the least absolute deviations (LAD) is used when there are outliers. Selecting significant …
Mina Norouzirad, Mohammad Arashi, S. Ejaz Ahmed
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From Lad-LASSO to PR-LAD estimator
The least absolute deviation (LAD) estimator is an alternative to the OLS estimator, when outliers exist or the errors are distributed …
Mina Norouzirad, Mohammad Arashi
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Steinian shrinkage estimation in high dimensional regression
In this paper, we suggest Steinian shrinkage ridge regression estimator for a high-dimensional multiple regression model, where the …
Mohammad Arashi, Mina Norouzirad
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Improved ridge M-estimators
The focus of this approach is on parameter in multiple regression model in the presence of multicollinearity and outliers. Some …
Mohammad Arashi, Mina Norouzirad
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Shrinkage estimation through convex optimization
Following least absolute and shrinkage selection operator (LASSO), we define preliminarily, Stein-type shrinkage and its positive part …
Mina Norouzirad, Mohammad Arashi, A. K. Md. Ehsanes Saleh
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Some asymptotic results on improved LASSO estimators
In the context of regression modeling, when the number of predictors are relatively large with respect to sample size, the least …
Mina Norouzirad, Mohammad Arashi, A. K. Md. Ehsanes Saleh
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